EDA

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Density Plot for Gender

Gender wise Distribution

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Age wise Density Plot

Age wise boxplot

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Education

Heat Map for Education - Age

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Marital Status wise Distribution

Correlation Plot

Correlation Plot

LR Prediction Stats

Confusion Matrix for Logistic Regression

                
logistic_default    0    1
               0 4500 1013
               1  145  319

Accuracy

[1] 0.8062573

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AUC Curve for Logistic Regression

RF Prediction Stats

Confusion Matrix for Random Forest

Confusion Matrix and Statistics

           actual
predictions    0    1
          0 4394  836
          1  251  496
                                          
               Accuracy : 0.8181          
                 95% CI : (0.8081, 0.8278)
    No Information Rate : 0.7771          
    P-Value [Acc > NIR] : 3.656e-15       
                                          
                  Kappa : 0.3775          
                                          
 Mcnemar's Test P-Value : < 2.2e-16       
                                          
              Precision : 0.66399         
                 Recall : 0.37237         
                     F1 : 0.47715         
             Prevalence : 0.22285         
         Detection Rate : 0.08298         
   Detection Prevalence : 0.12498         
      Balanced Accuracy : 0.65917         
                                          
       'Positive' Class : 1               
                                          

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AUC Curve for Random Forest

Summary

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Report

  • The accuracy for Logistic Regression Model is 0.8062573.

  • The accuracy for Random Forest Model is 0.8183035.

This report was generated on February 17, 2020.

Predicted Results

About Report

Created by: Vignesh EA

Confidential: Nothing like that!